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Hugging Face Jobs in Georgia (NOW HIRING)

Manhattan Associates

Principal AI Engineer

Atlanta, GA · On-site

Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face), Data engineering and pipeline development (Airflow, Spark, ETL systems), MLOps, model lifecycle management, and ...

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $165/hr

Proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit‑Learn, Hugging Face Transformers. * Hands‑on experience with LLMs/SLMs (fine‑tuning, prompt design, inference ...

Waystar, Inc

Senior ML Engineer

Atlanta, GA · On-site

$100 - $160/hr

Strong proficiency in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers. * Solid hands‑on experience with core NLP techniques and transformer ...

Manhattan Associates

Principal AI Engineer

Atlanta, GA · On-site

Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face) * Data engineering and pipeline development (Airflow, Spark, ETL systems) * MLOps, model lifecycle management, and ...

QTS Realty Trust, Inc.

AI Engineer I

Suwanee, GA · On-site

Awareness of open-source / locally run models and tooling (e.g., Hugging Face, Ollama) * A portfolio of shipped AI projects or open-source contributions We conform to all the laws, statutes, and ...

Waystar

Senior ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

... Hugging Face Transformers). • Solid understanding and hands-on experience with core NLP techniques and architectures, especially Transformers. • Experience with cloud platforms, particularly ...

Omnissa

Software Engineer, AI/ML

Atlanta, GA · On-site +1

$102K - $160K/yr

Strong skills in Python, with hands-on experience using AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face * Proficiency in Node.js and TypeScript (or comparable backend frameworks)

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

... the Hugging face ecosystem Background in generative models and fine-tuning of foundation models Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX ...

Elevance Health

Gen AI Engineer

Atlanta, GA · Hybrid

Demonstrated 4+ years hands-on experience with Python, SQL, Hugging Face, TensorFlow, Keras, PyTorch, and Spark. * Experience with GCP/AWS cloud platforms. * Strong knowledge of and measurable hands ...

Omnissa

Senior Data Scientist

Atlanta, GA · On-site +1

$146K - $304K/yr

Extensive experience with AI/ML frameworks and libraries such as Scikit-Learn, Numpy, Pandas, SciPy, Hugging Face Transformers. * Hands-on experience with Large Language Models (LLMs), including ...

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How much do hugging face jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for hugging face in Georgia is $13.05, according to ZipRecruiter salary data. Most workers in this role earn between $10.96 and $15.43 per hour, depending on experience, location, and employer.

What is the difference between Hugging Face vs Machine Learning Engineer?

AspectHugging FaceMachine Learning Engineer
Required CredentialsTypically requires knowledge of NLP, deep learning, and Python; certifications are optionalRequires degrees in CS or related fields; experience with ML frameworks; certifications beneficial
Work EnvironmentCollaborative, research-focused, often in tech companies or startupsDevelopment, deployment, and optimization of ML models in various industries
Employer & Industry UsageUsed by AI/ML companies, research labs, and open-source communitiesEmployed across tech, finance, healthcare, and other sectors implementing ML solutions

Hugging Face primarily focuses on NLP tools, libraries, and open-source models, serving as a platform for AI research and development. Machine Learning Engineers develop, implement, and optimize ML models across various domains. While Hugging Face offers resources and tools that ML Engineers use, the roles differ: Hugging Face is a platform, whereas Machine Learning Engineer is a job role involving hands-on model development and deployment.

What are popular job titles related to Hugging Face jobs in Georgia? For Hugging Face jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Hugging Face jobs in Georgia look for? The top searched job categories for Hugging Face jobs in Georgia are:
What cities in Georgia are hiring for Hugging Face jobs? Cities in Georgia with the most Hugging Face job openings:
Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $27,147 per year, or $13.1 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Augusta, GA • Remote

Full-time

Re-posted 16 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply